Starter
Monitor traffic quality as you grow.
$79/ mo
Billed yearly
Save $238 a year
25,000 identifications / month
$0.00317 per identification
- Identification
- Anonymity signals
- Risk scoring
- Patterns
- Detailed risk analytics
- API
- Webhooks
- Support
Catch fraud and abuse before they cost you
We identify visitors behind VPN, proxy, and anti-detect masking and score the risk, so you can prevent losses from multi-accounting, bonus abuse, and fake signups.
Start Free
5,000 free identifications · 5-min setup · No credit card
Built forAIiGamingCryptocurrencySaaSFintechE-commerceTravelMarketplacesMedia & StreamingTicketingGaming
Cleaner traffic, fewer losses, sharper decisions
ShieldLabs turns anonymous traffic into a risk score for every visitor, so your ad budget, margins, and metrics are based on real users, not the noise.
Protect revenue
Multi-accounting, repeat bonus claims, and paid-period abuse surface early, before they eat into your margins.
Protect ad budget
Know which signups are fake before the acquisition spend is wasted, so budget goes to real users.
Metrics you can trust
Separate real signups from fake ones so CAC, LTV, and conversion reflect reality.
Use cases
One signal layer, many kinds of abuse and fraud
The same identity and anonymity signals power the checks your team runs to keep traffic clean and accounts honest.
- Traffic quality check: Score every visit and roll it into one traffic-quality number, so you see how clean your traffic really is and where the risk concentrates.
- Account takeover: Spot logins with stolen credentials while recognizing legitimate users, even behind a VPN or in incognito. Signals: Country, IP address, Proxy, Anti-detect browser.
- Account sharing: See when one paid account is quietly shared across many people, devices and locations, well beyond a single household. Signals: Geolocation, VPN.
- Multi-accounting: Catch one person spinning up many accounts from a single device, even with fresh emails, cleared cookies or incognito mode. Signals: Abuser, VPN, Anti-detect browser.
- Promo and bonus abuse: Stop the same person farming sign-up bonuses, referral credits and promo codes across throwaway accounts on one device. Signals: Abuser, Datacenter IP, Incognito.
- Free trial abuse: Detect users cycling through free trials on fresh emails from the same device to keep using the product for free. Signals: Abuser, VPN, Incognito.
- Ad and traffic fraud: Filter bot clicks, datacenter traffic and click farms out of your paid campaigns so you pay for real people, not fake visits. Signals: Suspicious paid click, Datacenter IP, Anti-detect browser.
- Returning visitor: Recognize returning, trusted visitors on their first request and tailor the experience, no repeated checks, no added friction. Signals: Returning visitor, Device fingerprint, Location.
Traffic quality check
Score every visit into one traffic-quality number
Score every visit and roll it into one traffic-quality number, so you see how clean your traffic really is and where the risk concentrates.
More about Traffic quality checkTraffic quality
51,762 identifications checked
56
Medium Risk · Needs attention
Clean0–923,723 · 45.8%
Low risk10–294,957 · 9.6%
Medium risk30–5912,070 · 23.3%
High risk60–10011,012 · 21.3%
Identification
Recognize every visitor, even the anonymous ones
ShieldLabs builds a persistent identifier from device, network, and browser signals on the first visit, so the same visitor stays recognized long after the cookie is gone.
Accurate Identification
The same visitor stays recognized across cleared cookies, rotated IPs, and incognito sessions.
Built from 100+ signals
Device, OS, browser, IP, and network signals collected on the first page load.
Linked into one identity
Visitors, devices, and accounts connect into a single graph you can act on.
Anonymous signals
Read every visit across 100+ data points
From a clean visit to a spoofed browser, ShieldLabs reads 100+ browser, network, and device data points and surfaces the anonymity signals behind each visitor, rolled into one explainable risk score.
Network Intelligence
VPN
Proxy
Tor
Privacy Relay
Datacenter
IP Reputation
IP Mismatch
Anti-Detect Browser
OS Tamper
Browser Automation
Incognito
IP Geolocation
Geolocation Spoofing
Suspicious Paid Click
Explainable risk scoring
Every score comes with the signals behind it
ShieldLabs returns a risk score from 0 to 100 with the details that produced it, so it is never a black box. Your code decides what to do with each score, which means you set the rules.
0/100
Risk score
Clean
IDvis_8f3a·2e7c
Proxy+10
Timezone mismatch+10
Anti-detect browser+60
Patterns
Ready-made patterns that point to abuse and fraud
Patterns correlate accounts, devices, and signals across your full traffic history, then surface with a severity rating. No custom rules to write.
Active from day one
Pre-built patterns for multi-accounting, account sharing, account takeover, credential stuffing, and ban evasion, with no fraud model to build.
Graded by severity
Every match surfaces as Suspicious or Dangerous, with the accounts involved.
Across the full history
Correlations run over your whole traffic history, not just a single visit.
71High risk
42Medium risk
24Low risk
12Low risk
6Clean
Traffic Analytics
See how clean your traffic really is
Measure traffic quality and see how much of your traffic is anonymous, broken down by channel, referrer, and UTM, with a Traffic Risk score on every source.
Assess traffic quality at a glance
A single Traffic Risk score showing what share of your traffic is anonymous.
Anonymity by channel and UTM
See which partner, creative, or campaign delivers invalid traffic instead of real visitors.
Your real audience, finally visible
Recognize returning visitors even after cleared cookies and fragmented sessions.
Built for developers
Ship it in five minutes
One JS snippet installs it. Every request returns a persistent visitor ID, the anonymity signals behind it, and an explainable risk score, all over API and webhooks.
One JS snippet
Drop it on your site and start collecting signals in about five minutes.
API and webhooks
Delivered on every plan, including the free tier.
Everything in the payload
A visitor ID, risk score, anonymity signals, and detection flags on every response.
You set the rules
ShieldLabs surfaces the signals; your own code owns the decision.
index.html
<script src="https://cdn.shieldlabs.ai/shield.js" async></script>
Works on any stack
One snippet drops into a framework, a CMS, or a no-code builder.
JavaScript
WordPress
Tilda
Shopify
Next.js
React
Angular
Vue.js
Preact
SvelteStart free. Scale when you're ready.
A free tier to get going, then transparent self-serve pricing that scales with your traffic. No sales calls, no annual or enterprise contracts to sign.
Start with 5,000 free identifications
See the anonymous and abusive traffic you're missing.
Growth
Most PopularCatch abuse before it costs you.
$319/ moBilled yearly
Save $958 a year
150,000 identifications / month
$0.00213 per identification
- Identification
- Anonymity signals
- Risk scoring
- Patterns
- Detailed risk analytics
- API
- Webhooks
- Support
Scale
Built for high-traffic platforms.
$799/ moBilled yearly
Save $2398 a year
500,000 identifications / month
$0.00159 per identification
- Identification
- Anonymity signals
- Risk scoring
- Patterns
- Detailed risk analytics
- API
- Webhooks
- Support
- 99.9% SLA
Frequently asked questions
Identify visitors at any level of anonymity
Assess traffic quality and prevent abuse and fraud, with up to 99% accuracy and a 5-minute install.
One JS snippet. API and webhooks on every tier. You set the rules.